A downlink beamforming in consideration of common pilot and phase mismatch

Chun, Byungjin

doi:10.1109/ecctd.2005.1523081

Cited by 2 publications

References 6 publications

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Min-Max MSE Precoding for Broadcast Channels Based on Statistical Channel State Information

Assir¹,

Dietrich²,

Joham

et al. 2006

2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications

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Linear precoding for the wireless MIIMO broadcast channel with multiple antennas at the transmitter and non cooperative single antenna receivers is considered. For statistical channel state information (CSI) at the transmitter a novel opti mization problem for adaptive precoding based on the mean square error (MSE) is solved, which can also deal with incomplete CSI at the receivers, i.e., the receivers' channel estimates rely on a common pilot channel. We explicitly model the receivers' (limited) processing capabilities, which leads to a performance advantage over existing signal-tointerference-and-noise-ratio (SINR) approaches.

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Min-Max MSE Precoding for Broadcast Channels Based on Statistical Channel State Information

Assir¹,

Dietrich²,

Joham

et al. 2006

2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications

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Robust Precoding With Bayesian Error Modeling for Limited Feedback MU-MISO Systems

Joham¹,

Castro

Castedo

et al. 2010

IEEE Trans. Signal Process.

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We consider the robust precoder design for Multi-User Multiple Input Single Output (MU-MISO) systems, where the Channel State Information (CSI) is fed back from the single antenna receivers to the centralized transmitter equipped with multiple antennas. We propose to compress the feedback data by projecting the channel estimates onto a vector basis, known at the receivers and the transmitter, and quantizing the resulting coefficients. The channel estimator and the basis for the rank reduction are jointly optimized by minimizing the Mean Square Error (MSE).Expressions for the conditional mean and the conditional covariance of the channel are derived which are necessary for the robust precoder design. These expressions take into account the following sources of error: channel estimation, truncation for rank reduction, quantization, and feedback channel delay. Three well-known precoder types, namely Linear Precoding (LP), Vector Precoding (VP), and Tomlinson-Harashima Precoding (THP), are designed based on the expectation of the MSE conditioned on the fed-back CSI. Our results show that robust precoding based on fedback CSI clearly outperforms conventional precoding designs which do not take into account the errors in the CSI.Additionally, we observe that a robust design is especially crucial for systems employing non-linear precoding with scarce feedback rate. Index TermsFeedback channel, Bayesian approach, imperfect CSI, robust precoding. I. INTRODUCTIONWe consider a MU-MISO system, i.e. a multiple antennas transmitter and several single-antenna receivers, since the centralized access point in a cellular system admits more complexity and cost than the mobiles. A MU-MISO system is a prominent example of a vector broadcast channel [1]. Recently, it has been shown that the Dirty Paper

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A downlink beamforming in consideration of common pilot and phase mismatch

Cited by 2 publications

References 6 publications

Min-Max MSE Precoding for Broadcast Channels Based on Statistical Channel State Information

Min-Max MSE Precoding for Broadcast Channels Based on Statistical Channel State Information

Robust Precoding With Bayesian Error Modeling for Limited Feedback MU-MISO Systems

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